What is computer science?
Computer Science is one of the important disciplines at universities that train information technology in particular and engineering in general. This is a major for young people who are passionate about in-depth study of Information Technology and computing capabilities of computer systems.
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| What is computer science |
Computer science is the study of computers and computing systems, processes and how computers work, and improving and enhancing the performance of algorithms, new technologies, and communication. between computer and human. Through this industry, you can build artificial intelligence software products, machine learning ...
Some directions of this industry include: Artificial Intelligence (Artificial Intelligence, Machine Learning), Graphics and Image Processing (Digital Image Processing), ...
What is Computer Engineering?
What is Software Engineering?
This discipline trains learners with knowledge related to the software development process, in order to create high-quality software products that meet the needs of society, especially in the development of modern life. industrial revolution 4.0. To make it easy to understand, Software Engineering also studies computers and computer-related knowledge, but specializes in developing, building, learning about how to operate and maintain software, majoring in learning. Goes more on practical programming than on general theory.
Students studying this major are equipped with in-depth knowledge about the software industry, including: software development process, skills in applying software tools to support the development of other software. Students are also equipped with the necessary knowledge related to the implementation phases in a software project such as requirements gathering, analysis, design, programming, testing, operation and maintenance of the software. .
What does it take to learn Computer Science well?
First, you have to prepare mentally because this is a very difficult subject and the basic subjects are quite academic. And more importantly, when you enter this industry, you are easily shocked because you are surrounded by Tin experts (when you only know cin, cout, they already know KMP, DP, Suffix Array. …, some even have a national award) I was really shocked when I first learned so I hope you guys are always optimistic and try to follow them, don't give up!
Math knowledge
Next is to equip yourself with a solid mathematical knowledge because not only the field of environmental science is not there, but other IT majors have very heavy requirements for math. Ah and Math here is the ability to solve problems, the way to think about that problem, not high school math, so if you feel you have a good mindset, you can still follow this industry.
As for those of you who are oriented to majors in AI, ML, etc., you need to focus on studying math when you go to university because if you don't study well in Calculus, DSTT, XSTK, you will be quite good when you study these majors. tired
Self-study ability
When you go to university, you won't be able to study the way your teacher tells you to, just like you did in high school, but you have to actively research and read through the materials about that subject first because it will help you continue. collect the teacher's lectures better. And more specifically, going to university only teaches you the most basic knowledge, so you have to learn about new technologies and apply what you have learned to be able to work.
Language ability
For this industry, foreign languages are paramount, so always invest in your foreign languages right now, because if you have good foreign language skills, you can offer to big companies. foreign companies and most importantly easy to read and view English documents. The 2 foreign languages that IT people need most are Japanese and English.
What does computer science learn?
The program equips students with fundamental and in-depth knowledge of Computer Science such as: computer architecture, operating systems, hardware and software programming languages, artificial intelligence, security and safety computing, processing large volumes of data from the internet and social networks, designing and developing applications for mobile devices and web environments...
Specialization in knowledge technology and machine learning
Introduction to knowledge technology and machine learning
The Knowledge Technology and Machine Learning majors provide knowledge in the areas of:
– Knowledge representation and inference: Developing knowledge representation models and knowledge base design, and developing automatic inference methods for application in intelligent systems in practice.
Knowledge management: studying methods of organizing knowledge, organizing documents to build management systems, searching and querying knowledge and documents according to semantics.
– Data mining: Research to discover new and useful knowledge in existing data sources., can be applied in the fields of e-commerce, healthcare, telecommunications, network security.
The specialized knowledge is applied in the construction of intelligent systems:
– Building intelligent systems in education: building support systems for solving dynamic exercises, knowledge querying systems of subjects, supporting systems for testing and assessing learners' knowledge, etc.
– Building semantic document warehouse management systems.
- Building diagnostic and forecasting systems in the fields of health and economics.
Skills acquired after studying knowledge technology and machine learning
Skills in analyzing and designing intelligent systems, knowledge base systems, and expert systems.
Programming skills, technology development, especially knowledge technology
- Thinking, reasoning and problem-solving skills.
Job opportunities in knowledge technology and machine learning
Students can work in the following positions and fields: programmers in IT businesses; experts in research and development of technologies, especially knowledge technology, intelligent products; scientific researchers at universities, institutes, centers and technology companies; Teaching staff,…
Specializes in Computer & Multimedia Marketing
Training goals for computer vision and Multimedia
Specialized training in the field of Computer Vision and Multimedia. In there:
– Provides foundational and in-depth knowledge of Computer Graphics, Computer Vision, multimedia data processing, and multimedia technology.
– Build necessary skills in analysis, design, implementation and construction of systems and applications related to multimedia data, multimedia technology, graphics and computer vision.
– Develop self-study skills, self-research, critical thinking, soft skills, creativity in technology and art.
Knowledge acquired by learning computer vision and Multimedia
– Photo and video processing.
- Computer graphics.
- Computer vision.
- Processing multimedia data.
- Multimedia technology.
– Machine learning and recognition.
– Virtual reality, augmented reality.
– Organize and query multimedia information.
Skills acquired by learning Computer Vision and Multimedia
- Skills in analysis and design of computer vision and multimedia systems.
– Skills in programming, applying technology and developing applications in computer vision and multimedia.
- Problem-solving skills.
Job opportunities in Computer Vision and Multimedia
Students can work in the following positions and areas: game graphics programming; specialists in developing technologies for image, audio, video processing, virtual reality, augmented reality, human-machine interaction; scientific researchers at universities, institutes, centers and technology companies; Teaching staff,…
Specialization in Natural Language Processing
Introduction to natural language processing
Specialization in Language Processing provides knowledge in the fields of word processing, language, machine translation, grammatical structure of Vietnamese in particular and language in general for application in automatic reading comprehension systems. , automatic translation.
Job opportunities in natural language processing industry
Students can work in the following positions and fields: programmers in IT businesses; specialists who research and develop technologies, especially products related to natural language processing such as virtual assistants, dictionaries, automatic translations,... ; scientific researchers at universities, institutes, centers and technology companies; Teaching staff,…
What do you do after studying computer science?
Experts analyze, design, install information technology projects to meet different applications in agencies, companies, schools,,….
Can work as a Project Specialist, planner, policy maker developing computer applications, or a programmer developing system software.
Working in manufacturing and software outsourcing companies in the country as well as abroad. Work at consulting companies to propose solutions, build and maintain information systems or work in the information technology department.
Scientific research staff and information technology application in institutes, research centers, research agencies of ministries, branches, universities and colleges.
Teaching computer science-related subjects at universities, colleges, professional secondary schools, vocational schools, and schools.
Should I study computer science?
List of schools that offer computer science degrees
Top 10 best computer science universities in the world
Oxford University continues to lead among the best Computer Science schools in the world. Meanwhile, the US has up to 5 representatives in the top 10, according to THE ranking in 2021.
According to the Times Higher Education (THE) World University Rankings by Subject 2021, there are more than 820 universities participating in the ranking of Computer Science. The top 10 representatives are mostly British and American schools.
1. Oxford University
This is the third year in a row that the University of Oxford, UK, has taken the lead in computer science training. The forerunner of the school's Computer Science department was the University of Oxford Computer Laboratory.
Like other subjects, the University of Oxford Computer Science has a tuition fee of £9,250 for domestic and EU students. Meanwhile, for international students, undergraduate computer science tuition is £36,065 – the highest of any discipline at Oxford University.
At postgraduate level, the Computer Science tuition fee at Oxford University is £7,970 for domestic and EU students and £26,405 for international students.
2. Stanford University
Computer science has been the most popular major at Stanford University for many years. This is also a famous school that trains many talents for Silicon Valley.
Many tech giants who studied at Stanford University are Marissa Mayer of Yahoo, Larry Page and Sergey Brin of Google, former Microsoft CEO Steve Ballmer, etc.
Tuition for undergraduate computer science at Stanford University is $ 55,473 (about 1.29 billion) with optional summer tuition of 17,493 USD and graduate school is 54,315 USD (about 1.25 billion) with tutoring. Optional summer fee is $17,493, applicable to all study programs for domestic and international students.
3. Massachusetts Institute of Technology
Massachusetts Institute of Technology (MIT) is also a famous university for training engineering professionals.
Tuition for the academic year 2020-2021 at undergraduate level in Computer Science for both domestic and international students is 55,450 USD (about 1.29 billion USD), while graduate level is 53,450 USD (about 1.24 billion USD). .
4. Swiss Federal Institute of Technology
The Swiss Federal Institute of Technology (ETH Zurich) is a place specializing in engineering and natural science training and is ranked 4th among the best computer science schools in the world. This is a reasonable choice in terms of tuition rates among the top 10 universities on this list, when the tuition fee for international students is only equal to that of domestic students.
Tuition for 2020-2021 for undergraduate and graduate (except PhD) for domestic and international students is USD 1,660 per year, including application fees and mandatory surcharges.
5. Carnegie Mellon University
Carnegie Mellon University was one of the first computer science schools in the world. Currently, it is also an international research university with many top-rated academic programs, from Engineering, Computer Science, Robotics to Business, Humanities and Social Sciences, etc.
For the 2020-2021 school year, the tuition fee for students studying at the school is 57,560 USD. In addition, adding living expenses, books, other fees, student expenses can range over 65,000 USD.
Carnegie Mellon also only provides financial aid to American students, permanent residents. International students enrolled at Carnegie Mellon University will be responsible for the full cost of their studies.
6. Cambridge University
Cambridge University is also among the best Computer Science universities in the world. The school exposes students to all-electric computer analysis and design skills, and fosters creativity and problem-solving abilities.
Charles Babbage, the designer of the world's first computer system, and Maurice Wilkes, the creator of the first programmable computer, are two of the university's typical students.
For the academic year 2020-2021, the University of Cambridge charges tuition fees for domestic and EU students studying Computer Science at £9,250/year. Meanwhile, international students studying Computer Science have to pay tuition fees of £33,825.
7. Harvard University
The computer science program at Harvard University also attracts the interest of technology-loving students.
Tuition fee for 2020-2021 undergraduate level for domestic and international students studying Computer Science at Harvard University is 49,653 USD (about 1.15 billion). Meanwhile, the master's tuition fee for domestic and international students is 48,008 USD (about 1.11 billion USD) for years 1 and 2; $12,484 (about 289 million) for years 3 and 4.
PhD students at Harvard University are supported with full expenses, including tuition, other fees, and living expenses (current cost of living is 2,980 USD).
8. National University of Singapore
The National University of Singapore (NUS) is a leading university in the world with a focus on Asia. In the year 2020 - 2021, when studying Computer Science, domestic and international students entering this academic year will have to pay 38,200 SGD.
9. University of California at Berkeley
The University of California at Berkeley is one of the top public schools in the United States. This is a place known for the quality of specialized education in the fields of computers. The school has many faculty members who have won the Nobel Prize, the Field Prize, the Turing Award - the most prestigious award in Computer Science.
In addition to the $5,721 tuition fee, UC Berkeley students must pay a number of fees, including campus fees, supplemental tuition, student services fees, and other fees. Total costs to be paid for domestic students entering the 2020-2021 academic year is $9,126 and international students $24,003
10. Imperial College London, England
Imperial College London is a school with a sizable list of modules. Therefore, students can search and choose the fields of Computer Science that they are particularly interested in, even those that are less popular.
Imperial College London has an undergraduate tuition fee for the 2020-2021 academic year with a Computer Science degree at £9,250 for domestic and EU students and from £31,170 for international students.
The postgraduate level in Computer Science costs £15,500 for domestic and EU students and from £32,000 for international students.
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